Advances in intelligent data analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings /: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. (2016)
- Record Type:
- Book
- Title:
- Advances in intelligent data analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings /: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. (2016)
- Main Title:
- Advances in intelligent data analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings
- Other Titles:
- Advances in intelligent data analysis 15
IDA 2016 - Further Information:
- Note: Henrik Boström, Arno Knobbe, Carlos Soares, Panagiotis Papapetrou (eds.).
- Editors:
- Boström, Henrik
Knobbe, Arno J
Soares, Carlos A. Mota, 1945-
Papapetrou, Panagiotis - Other Names:
- International Symposium on Intelligent Data Analysis, 15th
- Contents:
- DSCo-NG: A Practical Language Modeling Approach for Time Series Classification -- Ranking Accuracy for Logistic-GEE models -- The Morality Machine: Tracking Moral Values in Tweets -- A Hybrid Approach for Probabilistic Relational Models Structure Learning -- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks -- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm -- Visual Perception of Discriminative Landmarks in Classified Time Series -- Spotting the Diffusion of New Psychoactive Substances over the Internet -- Feature Selection Issues in Long-Term Travel Time Prediction -- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation -- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules -- A Toolkit for Analysis of Deep Learning Experiments -- The Optimistic Method for Model Estimation -- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML -- Learning from the News: Predicting Entity Popularity on Twitter -- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization -- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text -- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data -- Widened Learning of Bayesian Network Classifiers -- Vote Buying Detection via Independent Component AnalysisDSCo-NG: A Practical Language Modeling Approach for Time Series Classification -- Ranking Accuracy for Logistic-GEE models -- The Morality Machine: Tracking Moral Values in Tweets -- A Hybrid Approach for Probabilistic Relational Models Structure Learning -- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks -- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm -- Visual Perception of Discriminative Landmarks in Classified Time Series -- Spotting the Diffusion of New Psychoactive Substances over the Internet -- Feature Selection Issues in Long-Term Travel Time Prediction -- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation -- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules -- A Toolkit for Analysis of Deep Learning Experiments -- The Optimistic Method for Model Estimation -- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML -- Learning from the News: Predicting Entity Popularity on Twitter -- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization -- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text -- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data -- Widened Learning of Bayesian Network Classifiers -- Vote Buying Detection via Independent Component Analysis -- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining -- A Framework for Interpolating Scattered Data Using Space-filling Curves -- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited -- Bi-stochastic Matrix Approximation Framework for Data Co-clustering -- Sequential Cost-Sensitive Feature Acquisition -- Explainable and Efficient Link Prediction in Real-World Network Data -- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs -- Similarity Based Hierarchical Clustering with an Application to Text Collections -- Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues -- A First Step Toward Quantifying the Climate's Information Production over the Last 68, 000 Years -- HAUCA Curves for the Evaluation of Biomarker Pilot Studies with Small Sample Sizes and Large Numbers of Features -- Stability Evaluation of Event Detection Techniques for Twitter -- IDA 2016 Industrial Challenge: Using Machine Learning for Predicting Failures -- An Optimized k-NN Approach for Classification on Imbalanced Datasets with Missing Data -- Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance -- Prediction of Failures in the Air Pressure System of Scania Trucks Using a Random Forest and Feature Engineering. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xiii, 404 pages), illustrations
- Subjects:
- 006.4
Computer science
Pattern recognition systems -- Congresses
Mathematical statistics -- Congresses
Mathematical statistics -- Data processing -- Congresses
Mathematical statistics
Mathematical statistics -- Data processing
Pattern recognition systems
Computer Science
Database Management
Information Systems Applications (incl. Internet)
Artificial Intelligence (incl. Robotics)
Information Storage and Retrieval
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Computers -- Information Technology
Computers -- Intelligence (AI) & Semantics
Computers -- System Administration -- Storage & Retrieval
Computers -- Programming -- Algorithms
Computers -- Database Management -- Data Mining
Information retrieval
Artificial intelligence
Algorithms & data structures
Data mining
Database management
Artificial intelligence
Information storage and retrieva
Computer software
Data mining
Computers -- Database Management -- General
Databases
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319463490
3319463497
3319463489
9783319463483 - Related ISBNs:
- 9783319463483
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 5, 2016).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.356843
- Ingest File:
- 01_318.xml